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Space: A Missing Piece of the Dynamic Puzzle.
Armin Iraji1, Robyn Miller1, Tulay Adali2
1Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
Trends in Cognitive Sciences
|January 28, 2020
Summary
Understanding brain functional connectivity requires differentiating spatial and temporal dynamics. This study categorizes dynamic properties, improving characterization of brain function and disorders.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Biology
Background:
- Dynamic brain functional connectivity research is growing.
- Existing studies often conflate spatial and temporal dynamics.
- This limits understanding of functional structure variations.
Purpose of the Study:
- To introduce and define spatial, temporal, and spatiotemporal dynamics.
- To categorize existing dynamic connectivity approaches.
- To highlight the importance of spatial dynamics in brain analysis.
Main Methods:
- Conceptual framework development.
- Literature review and categorization of existing methods.
- Analysis of dynamic connectivity properties.
Main Results:
- Proposed clear definitions for spatial, temporal, and spatiotemporal dynamics.
- Demonstrated that most current methods are spatiotemporally dynamic.
- Identified a gap in characterizing purely spatial dynamics.
Conclusions:
- Differentiating dynamic properties is crucial for understanding brain function.
- Explicitly analyzing spatial dynamics offers new insights.
- This framework can advance the study of brain function and disorders.
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